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March 1, 2026Journal of Biomedical Optics2 citationsOpen Access

Quantitative photoacoustic tomography of skin vasculature predicts subcutaneous implant exposure

AYAnthony M. YuThe Wallace H. Coulter Department of Biomedical EngineeringXHXinyue HuangThe Wallace H. Coulter Department of Biomedical EngineeringSMSamuel M. A. MoraisGeorgia Institute of Technology

Key Points

  • This research aims to quantitatively validate the relationship between skin vascular health and implant exposure.
  • Utilized photoacoustic tomography to monitor skin vasculature changes.
  • Implanted three designs of 3D-printed polycaprolactone constructs in 16 hairless mice.
  • Applied a skeletonization algorithm to quantify vascular density over 16 weeks.
  • Mice with implant exposure showed a decline in vascular density starting 6 weeks before visible exposure.
  • Nonexposed mice exhibited stable vascular density throughout the duration.
  • Significant differences in vascular density were noted 4 weeks and 2 weeks prior to exposure onset.

Abstract

SignificanceCraniofacial implants are prone to skin necrosis and exposure, likely due to implant-induced stress and ischemia. However, this relationship has not been quantitatively validated. Identifying an imaging biomarker of skin vascular health could confirm this mechanism and help predict skin failure to mitigate implant complications.AimPhotoacoustic tomography (PAT) was used to monitor changes in the skin vasculature surrounding subcutaneous implants with the goal of obtaining a quantitative metric predictive of implant exposure.ApproachThree designs of 3D-printed porous polycaprolactone (PCL) constructs—unimodal block, bimodal block, and unimodal dome—were implanted in 16 hairless mice. PAT was performed biweekly for 16 weeks, and a skeletonization algorithm was applied to quantify vascular density in skin overlying the implants.ResultsMice that developed implant exposure (N=6) exhibited a progressive decline in vascular density beginning 6 weeks before visible exposure, whereas nonexposed mice (N=10) remained stable. Group differences were significant 4 weeks (p=0.031) and 2 weeks (p=0.001) before exposure onset.ConclusionsThese findings establish a quantitative temporal relationship between vascular ischemia and implant exposure. PAT-derived vascular density serves as a predictive biomarker of skin failure, which can be used to enable interventional treatment and improve implant designs.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69a3d6eaec16d51705d2da3fhttps://doi.org/10.1117/1.jbo.31.2.026005
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